Computing (Artificial Intelligence and Machine Learning)
The Master of Engineering (Integrated Undergraduate Degree) in Computing (Artificial Intelligence and Machine Learning) at Imperial College London is a four-year, full-time program that focuses on the design and application of AI and machine learning techniques. Students will study the principles of machine learning, neural networks, deep learning, and AI algorithms, and learn how to apply these methods to solve problems in areas like robotics, healthcare, and data analysis.
Graduates will be equipped for careers in AI development, machine learning engineering, and data science, with the skills to build intelligent systems that can learn and adapt. The program’s combination of theoretical learning and practical application ensures that students are prepared to contribute to innovations in AI and machine learning technologies across industries.
Key information
Key Facts
Program Title: Master of Engineering in Computing (Artificial Intelligence and Machine Learning)
Degree Type: Master of Engineering (Integrated Undergraduate Degree)
Duration: 4 years
Mode of Study: Full-time, On Campus
Application Deadline: 14th January 2026
Location: University of Imperial College London, United Kingdom
Field of Study: Computer Sciences
Language of Instruction: English
Program Structure
Year 1 – Foundations of Computing and Programming
- Introduction to Computer Programming (Python, Java, C++)
- Data Structures and Algorithms
- Discrete Mathematics for Computer Science
- Introduction to Artificial Intelligence (AI) and Machine Learning (ML)
- Computer Systems and Architecture
- Mathematical Methods for Computing
Year 2 – Intermediate Computing and AI Techniques
- Advanced Algorithms and Complexity
- Machine Learning Techniques and Algorithms
- Data Science and Statistical Methods
- Computer Networks and Distributed Systems
- Database Management Systems
- Software Engineering and Development Practices
Year 3 – Specialized AI and Machine Learning Applications
- Deep Learning and Neural Networks
- Natural Language Processing (NLP)
- Computer Vision and Image Recognition
- Reinforcement Learning and Autonomous Systems
- Ethical Considerations in AI and Machine Learning
- Research Project in AI/ML or Industry Application
Year 4 – Advanced Topics in AI, ML, and Independent Research
- Advanced Topics in AI, including Knowledge Representation and Reasoning
- Advanced Machine Learning Models (e.g., Generative Models, Transfer Learning)
- AI for Robotics and Autonomous Systems
- Independent Research Project in AI or Machine Learning (Industry-based or Academic)
- AI for Big Data and Cloud Computing
- Entrepreneurship and Innovation in AI and ML
Career Opportunities
Graduates of the Computing (Artificial Intelligence and Machine Learning) MEng program are in high demand in the rapidly growing fields of artificial intelligence, machine learning, and data science. The program prepares students for careers as AI researchers, machine learning engineers, data scientists, software developers, AI product managers, and research scientists. With expertise in deep learning, computer vision, natural language processing, and reinforcement learning, graduates are well-positioned to work in diverse sectors including tech, finance, healthcare, automotive, and robotics. Many also choose to pursue further academic study through PhD programs or specialize in areas like AI ethics, neuroinformatics, or autonomous systems. The program’s focus on real-world applications ensures graduates can contribute to cutting-edge projects in AI and ML across a wide variety of industries.
Why Choose This Program
The Computing (Artificial Intelligence and Machine Learning) MEng program at Imperial College London offers a world-class education at the forefront of the rapidly evolving fields of AI and ML. With a curriculum that combines strong theoretical foundations with practical applications, students are equipped to tackle complex problems in data-driven decision-making, autonomous systems, intelligent systems, and predictive analytics. Imperial’s renowned faculty, state-of-the-art facilities, and strong ties to industry provide unparalleled opportunities for research, internships, and collaborations with leading AI and tech companies. The program’s focus on cutting-edge technologies and innovation ensures that graduates are not only prepared for careers in AI and ML but also equipped to become leaders and innovators in these fields, addressing global challenges and shaping the future of technology.
Contact Information
For further information, please contact the admissions office at:
Phone: +44 (0)20 7589 5111
Email: admissions@imperial.ac.uk
Address: Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
